TY - JOUR
T1 - A Novel Operational Model for Interconnected Microgrids Participation in Transactive Energy Market: A Hybrid IGDT/Stochastic Approach
AU - Daneshvar, Mohammadreza
AU - Mohammadi-Ivatloo, Behnam
AU - Zare, Kazem
AU - Asadi, Somayeh
AU - Anvari-Moghaddam, Amjad
PY - 2021/6
Y1 - 2021/6
N2 - Recently, the decarbonization of the electric power system has led to substantial efforts for designing a pathway toward 100% renewable energy resources (RERs). In this article, we propose a novel operational model for the effective participation of the interconnected microgrids with 100% RERs in the transactive energy market. The novelty of the proposed model is mostly related to the use of transactive energy technology for developing the free energy trading environment for the microgrids with 100% RERs as the local energy-trading market to establish a dynamic energy balance in the system. To capture the intermittencies in the system, a hybrid version of the stochastic programming and information gap decision theory (IGDT) method with the risk-averse and risk-seeker strategies is proposed in the deregulated environment. The proposed model is validated by selecting the modified IEEE 14-bus test system. The results indicate the effectiveness of the proposed model in providing the same percentage of cost-saving for microgrids when they simultaneously participate in the transaction energy market. The cooperative energy interactions of the microgrids in the transactive energy market based on the proposed model lead to 18.34% cost-saving for them in comparison with the base model.
AB - Recently, the decarbonization of the electric power system has led to substantial efforts for designing a pathway toward 100% renewable energy resources (RERs). In this article, we propose a novel operational model for the effective participation of the interconnected microgrids with 100% RERs in the transactive energy market. The novelty of the proposed model is mostly related to the use of transactive energy technology for developing the free energy trading environment for the microgrids with 100% RERs as the local energy-trading market to establish a dynamic energy balance in the system. To capture the intermittencies in the system, a hybrid version of the stochastic programming and information gap decision theory (IGDT) method with the risk-averse and risk-seeker strategies is proposed in the deregulated environment. The proposed model is validated by selecting the modified IEEE 14-bus test system. The results indicate the effectiveness of the proposed model in providing the same percentage of cost-saving for microgrids when they simultaneously participate in the transaction energy market. The cooperative energy interactions of the microgrids in the transactive energy market based on the proposed model lead to 18.34% cost-saving for them in comparison with the base model.
KW - Microgrids
KW - Robustness
KW - Optimal scheduling
KW - Stochastic processes
KW - Uncertainty
KW - Transactive energy
KW - grid modernization
KW - interconnected microgrids
KW - renewable energy resources
UR - http://www.scopus.com/inward/record.url?scp=85092073660&partnerID=8YFLogxK
U2 - 10.1109/TII.2020.3012446
DO - 10.1109/TII.2020.3012446
M3 - Journal article
VL - 17
SP - 4025
EP - 4035
JO - I E E E Transactions on Industrial Informatics
JF - I E E E Transactions on Industrial Informatics
SN - 1551-3203
IS - 6
M1 - 9151349
ER -